Speech Recognition: A Complete Perspective
Ashok Kumar1, Vikas Mittal2
1Ashok Kumar, Department of Electronics and Communication Engineering, NIT Kurukshetra (Haryana), India.
2Vikas Mittal, Department of Electronics and Communication Engineering, NIT Kurukshetra (Haryana), India.
Manuscript received on 26 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 12 April 2019 | PP: 78-83 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90340476C19/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speech is basic form of communication between human beings. Speech recognition is a process to convert speech sound to corresponding text. Speech recognition technology has been developed to a large extent in last few years. But still there exist many important research challenges e.g. speaker and language variability, environmental noise and the vocabulary size etc. The objective of this paper is to present a complete perspective on speech recognition describing various processes and summarizing various methods used in a typical speech system.
Keywords: Speech Recognition, Feature Extraction, Modeling, Speech Processing, Training & Testing.
Scope of the Article: Pattern Recognition